About the job
Decagon is seeking a Director of Solutions Engineering to build and lead our growing pre-sales solutions engineering function. This role combines technical depth, enterprise consultative engagement, and team leadership, enabling Decagon to drive adoption of our AI-native platform across some of the world’s most complex enterprises.
Responsibilities
- Hire, mentor, and manage a team of Solutions Engineers, providing technical guidance, coaching, and career development.
- Establish and operationalize best practices for pre-sales solutioning, proof-of-concepts, and technical validation.
- Partner with Sales leadership to co-develop go-to-market strategies and align technical execution with business goals.
- Engage directly with a select portfolio of strategic enterprise prospects and customers, guiding them through discovery, solution design, and ROI validation.
- Ensure your team delivers compelling demonstrations, prototypes, and solution architectures tailored to customer needs.
- Foster cross-functional collaboration with Product and Engineering to bring customer insights into roadmap priorities.
- Serve as an executive-level technical representative in customer meetings, technical workshops, and industry events.
- Define scalable processes and assets to support team efficiency, repeatability, and long-term growth.
- Stay current on enterprise AI adoption patterns, integration strategies, and the evolving competitive landscape.
Qualifications
Minimum
- 7+ years of experience in pre-sales technical roles such as Solutions Architect, Sales Engineer, or equivalent.
- 3+ years of experience managing or leading pre-sales/solutions engineering teams.
- Proven success working with large enterprise customers and navigating complex buying cycles.
- Strong technical proficiency with enterprise AI deployments, API integrations, and production system architectures.
- Excellent communication skills, with the ability to engage executives, business stakeholders, and technical teams with equal credibility.
- A collaborative, organizational mindset with a track record of building scalable teams and processes.
- Ability to thrive in fast-moving, high-growth environments with significant ambiguity.
- Strong executive presence and consultative skills, capable of establishing trust and credibility with senior leaders.
Preferred
- Experience in AI/Generative AI pre-sales engineering or enterprise deployments.
- Familiarity with enterprise architecture design, developer tooling, SDKs, and integration patterns.
- Background in software engineering or systems engineering, enabling you to dive deeply into technical discussions.
- Experience integrating telephony infrastructure or other complex enterprise systems.
- Knowledge of LLM architecture, prompt engineering, evaluation, and AI-powered solution design.
- Thought leadership experience through conferences, webinars, or published technical content.